<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-3104</issn><issn pub-type="epub">3042-3104</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48314/apem.vi.52</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Enterprise architecture, Computational wisdom, Hybrid wisdom, Government integrated financial system, Financial management information system, Complexity.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Wise and Complex Enterprise Architecture for FMIS</article-title><subtitle>Wise and Complex Enterprise Architecture for FMIS</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Bourbour</surname>
		<given-names>Sara </given-names>
	</name>
	<aff>Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Besharati</surname>
		<given-names>Mohammad Reza </given-names>
	</name>
	<aff>Faculty of Computer Engineering, Sharif University of Technology, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>24</day>
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>4</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Wise and Complex Enterprise Architecture for FMIS</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Digital transformation, compliance to requirements and regulations, smart cyber-security, agility, data and information mesh, integration with convergent technologies, skill development and adapting to the socio-technical dynamics, Everyone benefits from a "adequately and sufficiently" sophisticated and complex platform of data-driven wisdom and its interaction with human experts. The realization of all these good goals and needs requires a good and innovative theory, method, framework, solution, and generally a good and innovative paradigm for enterprise architecture in the coming years, which seems to be slowly being experienced, evolving, and emerging. With such an approach and in this paper, a proposed conceptual architecture for the problem of "integrated and intelligent government Financial Management Information System (FMIS) " is presented (from the perspective of enterprise architecture and hybrid wisdom). This conceptual architecture establishes a dynamic and adjustable balance between centralization and distributedness, and with the help of the combination of computational data-driven and human wisdom, it is possible to improve the effectiveness of government resources, operational transparency, program adherence, and operational agility. It facilitates dynamic adaptability, in-depth reporting, support for analytical intelligence, and support for resolving budget discrepancies and disharmonies. Achieving the wisdom of cyber-human thinking in a systematic way in the field of FMIS will be one of the most distinctive achievements of such a conceptual architecture.
		</p>
		</abstract>
    </article-meta>
  </front>
  <body></body>
  <back>
    <ack>
      <p>Null</p>
    </ack>
  </back>
</article>